Tanmay Singal
Staff Software Engineer at Synopsys Inc
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolTanmay Singal is a Staff Software Engineer with eight years of experience building cloud-native systems, mobile apps, and web backends, currently based in San Jose and pursuing an MS in Computer Science. He has architected serverless solutions at Amazon that saved 1,400 annual man-hours and advised Fortune 500 clients on scalable, cost-effective AWS designs while earning an AWS Solutions Architect certification. His background spans low-level networking and cybersecurity for India’s Ministry of Finance, high-throughput API and Android work, and research-grade contributions to open-source projects via two Google Summer of Code engagements (genomics alias resolution and IIIF image support). Comfortable across Java/Spring, PostgreSQL, DynamoDB, Lambda, React, Kotlin, and Flutter, he blends production rigor with academic curiosity and a knack for squeezing large performance gains from legacy systems.
8 years of coding experience
3 years of employment as a software developer
CBSE, CBSE at The Lawrence School - Sanawar - IndiaMaster of Science - MS Computer Science, Master of Science - MS Computer Science at San José State UniversityBachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Maharaja Agrasen Institute Of Technology, DelhiCBSE Class 12 High School/Secondary Diplomas and Certificates, CBSE Class 12 High School/Secondary Diplomas and Certificates at DAV Public School
English, Hindi, Spanish
Stackoverflow
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0reached
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Github Skills (63)
kotlin10
wikipedia10
retrieval10
textual10
audio10
background-music10
pause10
volumes9
java9
kmm9
cmp9
django9
wallet9
3d9
kotlin-multiplatform-mobile9
Programming languages (10)
Github contributions (5)
singaltanmay/dotfiles
Jun 2020 - Jul 2023
A collection of dotfiles used to configure my personal Linux systems.
Contributions:2 PRs, 58 pushes, 5 branches in 3 years 1 month
dotfileslinuxconfigurezsh
singaltanmay/cineast
May 2021 - Nov 2021
Cineast is a multi-feature content-based mulitmedia retrieval engine. It is capable of retrieving images, audio- and video sequences as well as 3d models based on edge or color sketches, sketch-based motion queries and example objects.
Contributions:25 PRs, 143 pushes, 25 branches in 6 months
3d-modelsvideo-sequencesmotionedgeaudio
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